Lakera builds runtime security for large language models and generative AI systems. The tech stack—Python, C++, Go, React, Kubernetes, Terraform—reflects a systems-engineering foundation typical of infrastructure security. Active projects center on scaling red-teaming automation and foundation model defenses, while pain points cluster around adversarial attack mitigation and customer scaling, suggesting the company is transitioning from product-market fit toward operationalizing both technical depth (security research) and go-to-market (sales velocity, customer success).
Tech Stack 24 technologies
Core StackPython C++ Go React TypeScript JavaScript AWS Datadog Grafana Sentry HubSpot Salesforce Marketo LinkedIn Ads 6sense ZoomInfo Docker Kubernetes Terraform GCP Azure Check Point Bash Google Analytics 4
What Lakera Is Building
◆Challenges
- Protecting ai from adversarial misalignment
- Ai safety
- Accelerate sales velocity
- Increase customer success
- Scaling product experience
- Ensuring ai systems are safe
- Scaling ai red teaming services
- Scaling auto red-teaming algorithms
- Re-designing data infrastructure
- Protecting systems from adversarial misuse
▲Active Projects
- Developing technical documentation and guides
- Building playbooks and repeatable best practices
- Supporting product configuration
- Scalable solutions engineering function
- Maintain devops stack
- Product configuration and minor technical changes
- Scale training of large-scale security foundation models to very large parameters spaces
- Build playbooks
- Ai defense plane solution architecture
- Sales strategy foundation
Hiring Activity
50 roles · 25 in 30d
Department
Seniority
Notable leadership hires: Red Team Lead
Company intelligence
